Glovo, a multinational food and retail delivery platform, faces significant challenges with fraud, including duplicate accounts created by existing users to exploit promotions and obscure refund histories. Operating in 23 countries, the company contends with varying fraud types such as policy abuse, credit card fraud, SMS pumping schemes, and account takeovers. To combat these issues, Glovo utilizes Fingerprint's device intelligence to enhance fraud detection and prevention, helping to identify past offenders and improve machine learning models. This technology aids in spotting patterns in network data, detecting bots, and recognizing trusted users, thereby streamlining the experience for legitimate customers while reducing costs associated with fraudulent activities. By leveraging Fingerprint's capabilities, Glovo addresses regional risks, data gaps, and evolving fraud tactics, improving customer acquisition strategies and maintaining accurate user data.